@prefix p66: <http://data.loterre.fr/ark:/67375/P66> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix inist: <http://www.inist.fr/Ontology#> .
@prefix isothes: <http://purl.org/iso25964/skos-thes#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix uneskos: <http://purl.org/umu/uneskos#> .

p66:-XM9K9XL8-S
  skos:prefLabel "measure"@en, "mesure"@fr ;
  a skos:Concept ;
  skos:narrower p66:-DFH3S91P-S .

p66:-WM9BNKJ9-8
  skos:prefLabel "métamémoire procédurale"@fr, "procedural metamemory"@en ;
  a skos:Concept ;
  inist:isMeasuredBy p66:-DFH3S91P-S .

p66:-Probabilités__Statistiques
  skos:prefLabel "Probability / Statistics"@en, "Probabilités / Statistiques"@fr ;
  a isothes:ConceptGroup ;
  skos:member p66:-DFH3S91P-S .

p66:-BFZS53DS-X
  skos:prefLabel "résolution métacognitive"@fr, "metacognitive resolution"@en ;
  a skos:Concept ;
  inist:isMeasuredBy p66:-DFH3S91P-S .

p66:-RGFWPLNW-K
  skos:prefLabel "métamémoire"@fr, "metamemory"@en ;
  a skos:Concept ;
  inist:isMeasuredBy p66:-DFH3S91P-S .

p66:-DFH3S91P-S
  dc:bibliographicCitation """<span class ="replaced2">	•	 Goodman, L. A., & Kruskal, W. H. (1954). Measures of association for cross classifications. Journal of the American Statistical Association, 49, 732–764.  <a href="https://doi.org/10.1007/978-1-4612-9995-0_1">https://doi.org/10.1007/978-1-4612-9995-0_1</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">closed</span></p>"""@en, """<span class ="replaced2">	•	 Benjamin, A. S., & Diaz, M. (2008). Measurement of relative metamnemonic accuracy. In J. Dunlosky & R. A. Bjork (Eds.), Handbook of metamemory and memory (pp. 73–94). Psychology Press.</span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">closed</span></p>"""@en, """<span class ="replaced2">	•	 Fleming, S. M., & Lau, H. C. (2014). How to measure metacognition. Frontiers in Human Neuroscience, 8.  <a href="https://www.frontiersin.org/article/10.3389/fnhum.2014.00443">https://www.frontiersin.org/article/10.3389/fnhum.2014.00443</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">ouvert</span></p>"""@fr, """<span class ="replaced2">	•	 Nelson, T. O. (1984). A comparison of current measures of the accuracy of feeling-of-knowing predictions. Psychological Bulletin, 95(1), 109–133.  <a href="https://doi.org/10.1037//0033-2909.95.1.109">https://doi.org/10.1037//0033-2909.95.1.109</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">closed</span></p>"""@en, """<span class ="replaced2">	•	 Spellman, B. A., Bloomfield, A., & Bjork, R. A. (2008). Measuring memory and metamemory. In J. Dunlosky & R. A. Bjork (Eds.), Handbook of metamemory and memory (pp. 95–114). Psychology Press.  <a href="https://doi.org/10.4324/9780203805503.ch6">https://doi.org/10.4324/9780203805503.ch6</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">closed</span></p>"""@en, """<span class ="replaced2">	•	 Masson, M. E. J., & Rotello, C. M. (2009). Sources of bias in the Goodman–Kruskal gamma coefficient measure of association: Implications for studies of metacognitive processes. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35(2), 509–527.  <a href="https://doi.org/10.1037/a0014876">https://doi.org/10.1037/a0014876</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">étude empirique</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">fermé</span></p>"""@fr, """<span class ="replaced2">	•	 Fleming, S. M., & Lau, H. C. (2014). How to measure metacognition. Frontiers in Human Neuroscience, 8.  <a href="https://www.frontiersin.org/article/10.3389/fnhum.2014.00443">https://www.frontiersin.org/article/10.3389/fnhum.2014.00443</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">open</span></p>"""@en, """<span class ="replaced2">	•	 Benjamin, A. S., & Diaz, M. (2008). Measurement of relative metamnemonic accuracy. In J. Dunlosky & R. A. Bjork (Eds.), Handbook of metamemory and memory (pp. 73–94). Psychology Press.</span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">fermé</span></p>"""@fr, """<span class ="replaced2">	•	 Spellman, B. A., Bloomfield, A., & Bjork, R. A. (2008). Measuring memory and metamemory. In J. Dunlosky & R. A. Bjork (Eds.), Handbook of metamemory and memory (pp. 95–114). Psychology Press.  <a href="https://doi.org/10.4324/9780203805503.ch6">https://doi.org/10.4324/9780203805503.ch6</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">fermé</span></p>"""@fr, """<span class ="replaced2">	•	 Masson, M. E. J., & Rotello, C. M. (2009). Sources of bias in the Goodman–Kruskal gamma coefficient measure of association: Implications for studies of metacognitive processes. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35(2), 509–527.  <a href="https://doi.org/10.1037/a0014876">https://doi.org/10.1037/a0014876</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">empirical study</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">closed</span></p>"""@en, """<span class ="replaced2">	•	 Goodman, L. A., & Kruskal, W. H. (1954). Measures of association for cross classifications. Journal of the American Statistical Association, 49, 732–764.  <a href="https://doi.org/10.1007/978-1-4612-9995-0_1">https://doi.org/10.1007/978-1-4612-9995-0_1</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">fermé</span></p>"""@fr, """<span class ="replaced2">	•	 Nelson, T. O. (1984). A comparison of current measures of the accuracy of feeling-of-knowing predictions. Psychological Bulletin, 95(1), 109–133.  <a href="https://doi.org/10.1037//0033-2909.95.1.109">https://doi.org/10.1037//0033-2909.95.1.109</a></span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">fermé</span></p>"""@fr ;
  inist:domain "Probabilités / Statistiques"@fr, "Probability / Statistics"@en ;
  skos:altLabel "corrélation gamma"@fr, "gamma correlation"@en, "coefficient G"@fr, "G coefficient"@en ;
  inist:isMeasureOf p66:-RGFWPLNW-K, p66:-BFZS53DS-X, p66:-WM9BNKJ9-8 ;
  dc:modified "2023-03-13"^^xsd:date ;
  skos:prefLabel "coefficient de corrélation gamma de Goodman-Kruskal"@fr, "Goodman-Kruskal gamma correlation coefficient"@en ;
  skos:exactMatch <https://fr.wikipedia.org/wiki/Test_Gamma>, <https://www.wikidata.org/wiki/Q3753767>, <https://en.wikipedia.org/wiki/Goodman_and_Kruskal%27s_gamma> ;
  skos:definition "Mesure non paramétrique de l'association entre deux variables ordinales, variant de - 1 à +1."@fr, "A nonparametric measure of association between two ordinal variables, ranging from -1 to +1."@en ;
  dc:creator "Frank Arnould" ;
  skos:broader p66:-XM9K9XL8-S ;
  uneskos:memberOf p66:-Probabilités__Statistiques ;
  a skos:Concept ;
  skos:inScheme p66: ;
  dc:created "2022-04-06"^^xsd:date .

p66: a skos:ConceptScheme .
